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Kulkarni T, Robinson OM, Dutta A, Mukhopadhyay D, Bhattacharya S. Machine learning-based approach for automated classification of cell and extracellular matrix using nanomechanical properties. Mater Today Bio 2024; 25:100970. [PMID: 38312803 PMCID: PMC10835007 DOI: 10.1016/j.mtbio.2024.100970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 02/06/2024] Open
Abstract
Fibrosis characterized by excess accumulation of extracellular matrix (ECM) due to complex cell-ECM interactions plays a pivotal role in pathogenesis. Herein, we employ the pancreatic ductal adenocarcinoma (PDAC) model to investigate dynamic alterations in nanomechanical attributes arising from the cell-ECM interactions to study the fibrosis paradigm. Several segregated studies performed on cellular and ECM components fail to recapitulate their complex collaboration. We utilized collagen and fibronectin, the two most abundant PDAC ECM components, and studied their nanomechanical attributes. We demonstrate alteration in morphology and nanomechanical attributes of collagen with varying thicknesses of collagen gel. Furthermore, by mixing collagen and fibronectin in various stoichiometry, their nanomechanical attributes were observed to vary. To demonstrate the dynamicity and complexity of cell-ECM, we utilized Panc-1 and AsPC-1 cells with or without collagen. We observed that Panc-1 and AsPC-1 cells interact differently with collagen and vice versa, evident from their alteration in nanomechanical properties. Further, using nanomechanics data, we demonstrate that ML-based techniques were able to classify between ECM as well as cell, and cell subtypes in the presence/absence of collagen with higher accuracy. This work demonstrates a promising avenue to explore other ECM components facilitating deeper insights into tumor microenvironment and fibrosis paradigm.
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Affiliation(s)
- Tanmay Kulkarni
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA
| | - Olivia-Marie Robinson
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA
| | - Ayan Dutta
- School of Computing, University of North Florida, Jacksonville, FL, 32224 USA
| | - Debabrata Mukhopadhyay
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA
| | - Santanu Bhattacharya
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine and Science, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, 4500 San Pablo Road South, Jacksonville, FL, 32224, USA
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Kyriakopoulou K, Koutsakis C, Piperigkou Z, Karamanos NK. Recreating the extracellular matrix: novel 3D cell culture platforms in cancer research. FEBS J 2023; 290:5238-5247. [PMID: 36929947 DOI: 10.1111/febs.16778] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/23/2023] [Accepted: 03/15/2023] [Indexed: 03/18/2023]
Abstract
Cancer initiation and progression heavily rely on microenvironmental cues derived from various components of the niche including the extracellular matrix (ECM). ECM is a complex macromolecular network that governs cell functionality. Although the two-dimensional (2D) cell culture systems provide useful information at the molecular level and preclinical testing, they could not accurately represent the in vivo matrix microenvironmental architecture. Hence, it is no surprise that researchers in the last decade have focussed their efforts on establishing novel advanced in vitro culture models that mimic tumour and tissue-specific niches and interactions. These numerous three-dimensional (3D) culture systems that are now widely available, as well as those still under development, grant researchers with new, improved tools to study cancer progression and to explore innovative therapeutic options. Herein, we report on the emerging methods and cutting-edge technologies in 3D cell culture platforms and discuss their potential use in unveiling tumour microenvironmental cues, drug screening and personalized treatment.
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Affiliation(s)
- Konstantina Kyriakopoulou
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece
| | - Christos Koutsakis
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece
| | - Zoi Piperigkou
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece
- Foundation for Research and Technology-Hellas (FORTH)/Institute of Chemical Engineering Sciences (ICE-HT), Patras, Greece
| | - Nikos K Karamanos
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece
- Foundation for Research and Technology-Hellas (FORTH)/Institute of Chemical Engineering Sciences (ICE-HT), Patras, Greece
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3
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Guo KS, Brodsky AS. Tumor collagens predict genetic features and patient outcomes. NPJ Genom Med 2023; 8:15. [PMID: 37414817 DOI: 10.1038/s41525-023-00358-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 06/14/2023] [Indexed: 07/08/2023] Open
Abstract
The extracellular matrix (ECM) is a critical determinant of tumor fate that reflects the output from myriad cell types in the tumor. Collagens constitute the principal components of the tumor ECM. The changing collagen composition in tumors along with their impact on patient outcomes and possible biomarkers remains largely unknown. The RNA expression of the 43 collagen genes from solid tumors in The Cancer Genome Atlas (TCGA) was clustered to classify tumors. PanCancer analysis revealed how collagens by themselves can identify the tissue of origin. Clustering by collagens in each cancer type demonstrated strong associations with survival, specific immunoenvironments, somatic gene mutations, copy number variations, and aneuploidy. We developed a machine learning classifier that predicts aneuploidy, and chromosome arm copy number alteration (CNA) status based on collagen expression alone with high accuracy in many cancer types with somatic mutations, suggesting a strong relationship between the collagen ECM context and specific molecular alterations. These findings have broad implications in defining the relationship between cancer-related genetic defects and the tumor microenvironment to improve prognosis and therapeutic targeting for patient care, opening new avenues of investigation to define tumor ecosystems.
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Affiliation(s)
- Kevin S Guo
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Alexander S Brodsky
- Department of Pathology and Laboratory Medicine, Rhode Island Hospital, Warren Alpert Medical School, Brown University, Providence, RI, USA.
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A pan-cancer analysis of matrisome proteins reveals CTHRC1 and a related network as major ECM regulators across cancers. PLoS One 2022; 17:e0270063. [PMID: 36190948 PMCID: PMC9529084 DOI: 10.1371/journal.pone.0270063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 06/02/2022] [Indexed: 11/07/2022] Open
Abstract
The extracellular matrix in the tumour microenvironment can regulate cancer cell growth and progression. A pan-cancer analysis of TCGA data from 30 cancer types, identified the top 5% of matrisome genes with amplifications or deletions in their copy number, that affect their expression and cancer survival. A similar analysis of matrisome genes in individual cancers identified CTHRC1 to be significantly altered. CTHRC1, a regulator of collagen synthesis, was identified as the most prominently upregulated matrisome gene of interest across cancers. Differential gene expression analysis identified 19 genes whose expression is increased with CTHRC1. STRING analysis of these genes classified them as ‘extracellular’, involved most prominently in ECM organization and cell adhesion. KEGG analysis showed their involvement in ECM-receptor and growth factor signalling. Cytohubba analysis of these genes revealed 13 hub genes, of which MMP13, POSTN, SFRP4, ADAMTS16 and FNDC1 were significantly altered in their expression with CTHRC1 and seen to affect survival across cancers. This could in part be mediated by their overlapping roles in regulating ECM (collagen or fibronectin) expression and organisation. In breast cancer tumour samples CTHRC1 protein levels are significantly upregulated with POSTN and MMP13, further supporting the need to evaluate their crosstalk in cancers.
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Neill T, Kapoor A, Xie C, Buraschi S, Iozzo RV. A functional outside-in signaling network of proteoglycans and matrix molecules regulating autophagy. Matrix Biol 2021; 100-101:118-149. [PMID: 33838253 PMCID: PMC8355044 DOI: 10.1016/j.matbio.2021.04.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 03/31/2021] [Accepted: 04/01/2021] [Indexed: 02/07/2023]
Abstract
Proteoglycans and selected extracellular matrix constituents are emerging as intrinsic and critical regulators of evolutionarily conversed, intracellular catabolic pathways. Often, these secreted molecules evoke sustained autophagy in a variety of cell types, tissues, and model systems. The unique properties of proteoglycans have ushered in a paradigmatic shift to broaden our understanding of matrix-mediated signaling cascades. The dynamic cellular pathway controlling autophagy is now linked to an equally dynamic and fluid signaling network embedded in a complex meshwork of matrix molecules. A rapidly emerging field of research encompasses multiple matrix-derived candidates, representing a menagerie of soluble matrix constituents including decorin, biglycan, endorepellin, endostatin, collagen VI and plasminogen kringle 5. These matrix constituents are pro-autophagic and simultaneously anti-angiogenic. In contrast, perlecan, laminin α2 chain, and lumican have anti-autophagic functions. Mechanistically, each matrix constituent linked to intracellular catabolic events engages a specific cell surface receptor that often converges on a common core of the autophagic machinery including AMPK, Peg3 and Beclin 1. We consider this matrix-evoked autophagy as non-canonical given that it occurs in an allosteric manner and is independent of nutrient availability or prevailing bioenergetics control. We propose that matrix-regulated autophagy is an important outside-in signaling mechanism for proper tissue homeostasis that could be therapeutically leveraged to combat a variety of diseases.
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Affiliation(s)
- Thomas Neill
- Department of Pathology, Anatomy, and Cell Biology, and the Translational Cellular Oncology Program, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
| | - Aastha Kapoor
- Department of Pathology, Anatomy, and Cell Biology, and the Translational Cellular Oncology Program, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Christopher Xie
- Department of Pathology, Anatomy, and Cell Biology, and the Translational Cellular Oncology Program, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Simone Buraschi
- Department of Pathology, Anatomy, and Cell Biology, and the Translational Cellular Oncology Program, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Renato V Iozzo
- Department of Pathology, Anatomy, and Cell Biology, and the Translational Cellular Oncology Program, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
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Holstein E, Dittmann A, Kääriäinen A, Pesola V, Koivunen J, Pihlajaniemi T, Naba A, Izzi V. The Burden of Post-Translational Modification (PTM)-Disrupting Mutations in the Tumor Matrisome. Cancers (Basel) 2021; 13:1081. [PMID: 33802493 PMCID: PMC7959462 DOI: 10.3390/cancers13051081] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 02/25/2021] [Accepted: 02/26/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND To evaluate the occurrence of mutations affecting post-translational modification (PTM) sites in matrisome genes across different tumor types, in light of their genomic and functional contexts and in comparison with the rest of the genome. METHODS This study spans 9075 tumor samples and 32 tumor types from The Cancer Genome Atlas (TCGA) Pan-Cancer cohort and identifies 151,088 non-silent mutations in the coding regions of the matrisome, of which 1811 affecting known sites of hydroxylation, phosphorylation, N- and O-glycosylation, acetylation, ubiquitylation, sumoylation and methylation PTM. RESULTS PTM-disruptive mutations (PTMmut) in the matrisome are less frequent than in the rest of the genome, seem independent of cell-of-origin patterns but show dependence on the nature of the matrisome protein affected and the background PTM types it generally harbors. Also, matrisome PTMmut are often found among structural and functional protein regions and in proteins involved in homo- and heterotypic interactions, suggesting potential disruption of matrisome functions. CONCLUSIONS Though quantitatively minoritarian in the spectrum of matrisome mutations, PTMmut show distinctive features and damaging potential which might concur to deregulated structural, functional, and signaling networks in the tumor microenvironment.
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Affiliation(s)
- Elisa Holstein
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, FI-90014 Oulu, Finland; (E.H.); (A.D.); (A.K.); (V.P.); (J.K.); (T.P.)
| | - Annalena Dittmann
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, FI-90014 Oulu, Finland; (E.H.); (A.D.); (A.K.); (V.P.); (J.K.); (T.P.)
| | - Anni Kääriäinen
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, FI-90014 Oulu, Finland; (E.H.); (A.D.); (A.K.); (V.P.); (J.K.); (T.P.)
| | - Vilma Pesola
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, FI-90014 Oulu, Finland; (E.H.); (A.D.); (A.K.); (V.P.); (J.K.); (T.P.)
| | - Jarkko Koivunen
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, FI-90014 Oulu, Finland; (E.H.); (A.D.); (A.K.); (V.P.); (J.K.); (T.P.)
| | - Taina Pihlajaniemi
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, FI-90014 Oulu, Finland; (E.H.); (A.D.); (A.K.); (V.P.); (J.K.); (T.P.)
| | - Alexandra Naba
- Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, IL 60612, USA;
- University of Illinois Cancer Center, Chicago, IL 60612, USA
| | - Valerio Izzi
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, FI-90014 Oulu, Finland; (E.H.); (A.D.); (A.K.); (V.P.); (J.K.); (T.P.)
- Faculty of Medicine, University of Oulu, FI-90014 Oulu, Finland
- Finnish Cancer Institute, 00130 Helsinki, Finland
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Karamanos NK, Theocharis AD, Piperigkou Z, Manou D, Passi A, Skandalis SS, Vynios DH, Orian-Rousseau V, Ricard-Blum S, Schmelzer CEH, Duca L, Durbeej M, Afratis NA, Troeberg L, Franchi M, Masola V, Onisto M. A guide to the composition and functions of the extracellular matrix. FEBS J 2021; 288:6850-6912. [PMID: 33605520 DOI: 10.1111/febs.15776] [Citation(s) in RCA: 334] [Impact Index Per Article: 111.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 02/13/2021] [Accepted: 02/18/2021] [Indexed: 12/13/2022]
Abstract
Extracellular matrix (ECM) is a dynamic 3-dimensional network of macromolecules that provides structural support for the cells and tissues. Accumulated knowledge clearly demonstrated over the last decade that ECM plays key regulatory roles since it orchestrates cell signaling, functions, properties and morphology. Extracellularly secreted as well as cell-bound factors are among the major members of the ECM family. Proteins/glycoproteins, such as collagens, elastin, laminins and tenascins, proteoglycans and glycosaminoglycans, hyaluronan, and their cell receptors such as CD44 and integrins, responsible for cell adhesion, comprise a well-organized functional network with significant roles in health and disease. On the other hand, enzymes such as matrix metalloproteinases and specific glycosidases including heparanase and hyaluronidases contribute to matrix remodeling and affect human health. Several cell processes and functions, among them cell proliferation and survival, migration, differentiation, autophagy, angiogenesis, and immunity regulation are affected by certain matrix components. Structural alterations have been also well associated with disease progression. This guide on the composition and functions of the ECM gives a broad overview of the matrisome, the major ECM macromolecules, and their interaction networks within the ECM and with the cell surface, summarizes their main structural features and their roles in tissue organization and cell functions, and emphasizes the importance of specific ECM constituents in disease development and progression as well as the advances in molecular targeting of ECM to design new therapeutic strategies.
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Affiliation(s)
- Nikos K Karamanos
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece.,Foundation for Research and Technology-Hellas (FORTH)/Institute of Chemical Engineering Sciences (ICE-HT), Patras, Greece
| | - Achilleas D Theocharis
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece
| | - Zoi Piperigkou
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece.,Foundation for Research and Technology-Hellas (FORTH)/Institute of Chemical Engineering Sciences (ICE-HT), Patras, Greece
| | - Dimitra Manou
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece
| | - Alberto Passi
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Spyros S Skandalis
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece
| | - Demitrios H Vynios
- Biochemistry, Biochemical Analysis & Matrix Pathobiology Research Group, Laboratory of Biochemistry, Department of Chemistry, University of Patras, Greece
| | - Véronique Orian-Rousseau
- Karlsruhe Institute of Technology, Institute of Biological and Chemical Systems- Functional Molecular Systems, Eggenstein-Leopoldshafen, Germany
| | - Sylvie Ricard-Blum
- University of Lyon, UMR 5246, ICBMS, Université Lyon 1, CNRS, Villeurbanne Cedex, France
| | - Christian E H Schmelzer
- Fraunhofer Institute for Microstructure of Materials and Systems IMWS, Halle (Saale), Germany.,Institute of Pharmacy, Faculty of Natural Sciences I, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Laurent Duca
- UMR CNRS 7369 Matrice Extracellulaire et Dynamique Cellulaire (MEDyC), Team 2: Matrix Aging and Vascular Remodelling, Université de Reims Champagne Ardenne (URCA), UFR Sciences Exactes et Naturelles, Reims, France
| | - Madeleine Durbeej
- Department of Experimental Medical Science, Unit of Muscle Biology, Lund University, Sweden
| | - Nikolaos A Afratis
- Department Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Linda Troeberg
- Norwich Medical School, University of East Anglia, Bob Champion Research and Education Building, Norwich, UK
| | - Marco Franchi
- Department for Life Quality Study, University of Bologna, Rimini, Italy
| | | | - Maurizio Onisto
- Department of Biomedical Sciences, University of Padova, Italy
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